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PLS1Regression Class

Implements Partial Least Squares regression (PLS1), i.e. PLS regression for multiple target variables by running a separate PLS2 model for each target variable.
Inheritance Hierarchy
SystemObject
  Altaxo.Calc.Regression.MultivariateMultivariateRegression
    Altaxo.Calc.Regression.MultivariatePLS1Regression

Namespace: Altaxo.Calc.Regression.Multivariate
Assembly: AltaxoCore (in AltaxoCore.dll) Version: 4.8.3448.0 (4.8.3448.0)
Syntax
C#
public class PLS1Regression : MultivariateRegression

The PLS1Regression type exposes the following members.

Constructors
 NameDescription
Public methodPLS1RegressionInitializes a new instance of the PLS1Regression class
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Properties
 NameDescription
Public propertyCalibrationModel Gets the calibration model of the analysis.
(Inherited from MultivariateRegression)
Protected propertyInternalCalibrationModel Gets the calibration model of the analysis.
(Overrides MultivariateRegressionInternalCalibrationModel)
Public propertyNumberOfFactors Gets the number of factors calculated during the analysis.
(Inherited from MultivariateRegression)
Public propertyNumberOfSpectralResiduals Gets the number of spectral residuals. This is normally 1, but for the PLS1 analysis, it is NumberOfY.
(Overrides MultivariateRegressionNumberOfSpectralResiduals)
Public propertyPRESS Gets the predicted error sum of squares (PRESS) values accumulated during analysis.
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Methods
 NameDescription
Public methodAnalyzeFromPreprocessed Creates an analysis from preprocessed spectra and preprocessed concentrations.
(Inherited from MultivariateRegression)
Protected methodAnalyzeFromPreprocessedWithoutReset Creates an analysis from preprocessed spectra and preprocessed concentrations.
(Overrides MultivariateRegressionAnalyzeFromPreprocessedWithoutReset(IROMatrixDouble, IROMatrixDouble, Int32))
Public methodStatic memberCreateFromPreprocessed Creates a PLS1 regression from preprocessed spectra and preprocessed target variables.
Public methodEqualsDetermines whether the specified object is equal to the current object.
(Inherited from Object)
Protected methodFinalizeAllows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.
(Inherited from Object)
Public methodGetHashCodeServes as the default hash function.
(Inherited from Object)
Public methodGetPredictionScores Calculates the prediction scores.
(Inherited from MultivariateRegression)
Public methodGetPRESSFromPreprocessed Returns the predicted error sum of squares (PRESS) for this analysis. The length of the vector returned is the number of factors in the analysis plus one.
(Overrides MultivariateRegressionGetPRESSFromPreprocessed(IROMatrixDouble))
Public methodGetTypeGets the Type of the current instance.
(Inherited from Object)
Public methodGetXLeverageFromPreprocessed Calculates the spectral leverage from preprocessed spectra.
(Inherited from MultivariateRegression)
Public methodGetXLeverageFromRaw Calculates the spectral leverage from raw spectra.
(Inherited from MultivariateRegression)
Protected methodInternalGetPredictionScores Calculates the prediction scores (for use with the preprocessed spectra).
(Overrides MultivariateRegressionInternalGetPredictionScores(Int32, IMatrixDouble))
Protected methodInternalGetXLeverageFromPreprocessed Calculates the spectral leverage values from the preprocessed spectra.
(Overrides MultivariateRegressionInternalGetXLeverageFromPreprocessed(IROMatrixDouble, Int32, IMatrixDouble))
Protected methodMemberwiseCloneCreates a shallow copy of the current Object.
(Inherited from Object)
Public methodPredictedYAndSpectralResidualsFromPreprocessed Calculates the predicted target variables and the spectral residuals from preprocessed spectra.
(Overrides MultivariateRegressionPredictedYAndSpectralResidualsFromPreprocessed(IROMatrixDouble, Int32, IMatrixDouble, IMatrixDouble))
Public methodPredictYFromPreprocessed Predicts target variables from preprocessed spectra.
(Inherited from MultivariateRegression)
Public methodPredictYFromRaw Predicts y values from raw (unpreprocessed) spectra.
(Inherited from MultivariateRegression)
Public methodReset Resets the regression, so that it appears newly created.
(Overrides MultivariateRegressionReset)
Public methodSetCalibrationModel Sets the calibration model data of the analysis to the provided data. This can be used to restore previously stored calibration data for use in the prediction functions.
(Overrides MultivariateRegressionSetCalibrationModel(IMultivariateCalibrationModel))
Public methodSpectralResidualsFromPreprocessed(IROMatrixDouble, Int32) Calculates the spectral residuals from preprocessed spectra.
(Inherited from MultivariateRegression)
Public methodSpectralResidualsFromPreprocessed(IROMatrixDouble, Int32, IMatrixDouble) Calculates the spectral residuals from preprocessed spectra.
(Inherited from MultivariateRegression)
Public methodToStringReturns a string that represents the current object.
(Inherited from Object)
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Fields
 NameDescription
Protected field_PRESS 
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See Also